> Markdown version of [/jobs/ext/4517786-associate-aws-solutions-architect-ai-ml-in-united](https://www.wearedevelopers.com/jobs/ext/4517786-associate-aws-solutions-architect-ai-ml-in-united). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate AWS Solutions Architect- AI/ML in United - **Company:** Energy Jobline - **Location:** Carbon, WV, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Engineering, Continuous Integration, Information Engineering, Identity and Access Management, Python (Programming Language), Search Technologies, Software Engineering, SQL Databases, Systems Integration, Amazon Connect, Retrieval-Augmented Generation, Prompt Engineering, Software Troubleshooting, Generative AI, AWS Lambda, Agentic-AI, Git, Cloudformation, Amazon Bedrock, AWS Glue, AWS Fargate, Machine Learning Operations, Claude, Restful APIs, Terraform, Amazon Lex, Data Pipelines, Amazon Redshift - **Published:** November 1, 2026 - **Apply:** https://www.energyjobline.com/job/associate-aws-solutions-architect-ai-ml-united-32125122 ## About the Role Applicants must be authorized to work in the United States. This position does not offer employment visa sponsorship., * 3+ years of experience in cloud engineering, software development, data engineering, or a related technical role, including hands-on experience building and deploying solutions on AWS. \n * Practical experience implementing AI/ML or Generative AI solutions through customer projects, internal solutions, or substantial proofs of concept. \n * Hands-on experience with Amazon Bedrock and/or Amazon SageMaker, including model APIs and AI application integration. \n * Hands-on experience building event-driven solutions on AWS (Lambda, Fargate, Cognito, IAM, etc.) and integrating AI capabilities into them. \n * Understanding of RAG, embeddings, vector search, prompt design, and methods for evaluating AI outputs. \n * Proficiency in Python and SQL, with experience integrating REST APIs, working with Git, and building data pipelines for AI/ML workloads using services such as AWS Glue, Amazon Athena, Amazon Redshift, or Amazon Kinesis. \n * Strong troubleshooting, documentation, and communication skills, including the ability to break designs into actionable tasks, present progress to technical and non-technical audiences, and work effectively with customers and distributed teams. \n ## Description This is a fully remote position with occasional travel as necessary for conferences or customer meetings., As an Associate Solutions Architect - AI/ML in Cloudelligent's Data & AI Practice, you will design and deliver AI-enabled solutions on AWS for customers, focusing on Amazon Bedrock, Amazon SageMaker, AWS Lambda, Generative AI, and Agentic AI., You will work with senior solutions architects, service delivery managers, and engineers across the full engagement: technical discovery, solution design support, hands-on implementation, and customer handover. You will deliver working AI solutions such as RAG-based assistants, agentic workflows, and AI-assisted customer service, and you will modernize customer applications by embedding AI capabilities into them., This is a hands-on, customer-facing role with technical leadership responsibilities for assigned projects or workstreams., * Claude certifications - Associate, Developer, or Architect (Foundations), or Architect (Professional) \n * Experience integrating Amazon Connect with Amazon Lex and Amazon Bedrock for conversational self-service and AI-assisted customer support. \n * Experience implementing agent workflows, tool integrations, or human-approval steps within AI applications. \n * Familiarity with CI/CD, automated testing, Terraform or AWS CloudFormation, and monitoring of production AI workloads. \n